/agentic-rag

A Simple RAG with LlamaIndex

Primary LanguageJupyter Notebook

Agentic RAG LlamaIndex

Description

Agentic RAG LlamaIndex is a simple overview project that combines Retrieval-Augmented Generation (RAG) with LlamaIndex to create an intelligent and context-aware system. This project aims to enhance the capabilities of large language models by leveraging external knowledge sources and efficient indexing techniques.

Features

  • Retrieval-Augmented Generation (RAG) implementation
  • Integration with LlamaIndex for efficient data indexing and retrieval
  • Agentic behavior for improved context understanding and task completion